About this Training

The energy sector has persisted in looking for methods to raise their global projects' profitability, safety, and quality. Drilling automation and real-time applications both offer cutting edge solutions needed to make sophisticated oil and gas well plans both technically and financially possible. It is not just drilling ahead but with data, machine learning (ML), artificial intelligence (AI), automation and people converging to autonomics making the physical drilling system in self-configuring, self-diagnosis, self-healing, self-optimizing and self-managing state. The drilling world will work on reverse engineering the brain and the computer architecture mimicking the driller’s brain’s network. It consists of engineering formalism, plus interpretation of data and thus providing the reaction link between the mathematical formulation and elements of the physical world. 

This 2 full-day course explores real-world applications of automation, types of automated drilling systems, monitoring & control techniques, simulation implementation, and more. Attendees will gain insights into developing a strategic roadmap to integrate automation, including human-machine interaction considerations.